Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance.

Buckingham, Steven D; Partridge, Frederick A; Poulton, Beth C; Miller, Benjamin S; McKendry, Rachel A; Lycett, Gareth J; Sattelle, David B

Buckingham, Steven D; Partridge, Frederick A; Poulton, Beth C; Miller, Benjamin S; McKendry, Rachel A; Lycett, Gareth J; Sattelle, David B.

Affiliation

Buckingham SD; UCL Centre for Respiratory Biology, UCL Respiratory, Division of Medicine, University College London, London, United Kingdom.
Partridge FA; UCL Centre for Respiratory Biology, UCL Respiratory, Division of Medicine, University College London, London, United Kingdom.
Poulton BC; UCL Centre for Respiratory Biology, UCL Respiratory, Division of Medicine, University College London, London, United Kingdom.
Miller BS; Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
McKendry RA; London Centre for Nanotechnology, Faculty of Maths & Physical Sciences, University College London, London, United Kingdom.
Lycett GJ; London Centre for Nanotechnology, Faculty of Maths & Physical Sciences, University College London, London, United Kingdom.
Sattelle DB; Division of Medicine, University College London, London, United Kingdom.

PLoS Negl Trop Dis ; 15(6): e0008639, 2021 06.

Article in En | MEDLINE | ID: mdl-34081710

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pyrethrins / Automation / Insecticide Resistance / Smartphone / Insecticides / Culicidae Type of study: Diagnostic_studies / Screening_studies Limits: Animals Language: En Journal: PLoS Negl Trop Dis Journal subject: MEDICINA TROPICAL Year: 2021 Document type: Article Affiliation country: Reino Unido Country of publication: Estados Unidos

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